Metabolic Circuit Design Automation by Multi-objective BioCAD

2016 ◽  
pp. 30-44 ◽  
Author(s):  
Andrea Patané ◽  
Piero Conca ◽  
Giovanni Carapezza ◽  
Andrea Santoro ◽  
Jole Costanza ◽  
...  
Keyword(s):  
Circuit Design ◽  
Design Automation ◽  
Multi Objective ◽  
Metabolic Circuit

Dual-phase pipeline circuit design automation with a built-in performance adjusting mechanism

2011 ◽  
Author(s):  
Yu-Tzu Tsai ◽  
Cheng-Chih Tsai ◽  
Cheng-An Chien ◽  
Ching-Hwa Cheng ◽  
Jiun-In Guo
Keyword(s):  
Circuit Design ◽  
Design Automation ◽  
Dual Phase

Synthesis of LC-Oscillators Using Rival Multi-Objective Multi-Constraint Optimization Kernels

2015 ◽  
pp. 1-27 ◽  
Author(s):  
Ricardo Póvoa ◽  
Ricardo Lourenço ◽  
Nuno Lourenço ◽  
António Canelas ◽  
Ricardo Martins ◽  
...  
Keyword(s):  
Design Automation ◽  
State Of The Art ◽  
Voltage Controlled Oscillator ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Multi Objective ◽  
Lc Oscillator ◽  
Lc Oscillators ◽  
Statistical Results ◽  
Multiple Synthesis

This chapter presents a state-of-the-art multi-objective/multi-constraint design automation approach applied to the design of an LC-Voltage Controlled Oscillator and an LC-Oscillator for a 130 nm technology node and leading to sets of design solutions showing figures-of-merit around -192 dBc/Hz and -186 dBc/Hz, respectively. The proposed approach, implemented in AIDA-C, guarantees accuracy by using commercial circuit simulators (HSPICE® and ELDO®) to evaluate the performance of the tentative circuit solutions, where the number of time-consuming circuit simulations is efficiently pruned by the optimization kernel. Three multi-objective optimization algorithms, the NSGA-II, the MOPSO, and the MOSA, are experimented with in the synthesis of the quoted oscillators and compared in terms of performance using statistical results obtained from multiple synthesis runs for each one of the oscillators. The performance of the optimized oscillators is then compared to other state-of-the-art results, showing the benefits of the presented multi-objective design approach.

scholarly journals Author Correction: Genetic circuit design automation for the gut resident species Bacteroides thetaiotaomicron

2020 ◽  
Vol 38 (8) ◽  
pp. 1001-1001
Author(s):  
Mao Taketani ◽  
Jianbo Zhang ◽  
Shuyi Zhang ◽  
Alexander J. Triassi ◽  
Yu-Ja Huang ◽  
...  
Keyword(s):  
Circuit Design ◽  
Design Automation ◽  
Genetic Circuit ◽  
Resident Species ◽  
Bacteroides Thetaiotaomicron

Circuit Design and Design Automation for Printed Electronics

2019 ◽  
Author(s):  
M. Fattori ◽  
I.A. Fijn ◽  
L. Hu ◽  
E. Cantatore ◽  
F. Torricelli ◽  
...  
Keyword(s):  
Circuit Design ◽  
Design Automation ◽  
Printed Electronics

Using Artificial Neural Networks for Analog Integrated Circuit Design Automation

2020 ◽  
Author(s):  
João P. S. Rosa ◽  
Daniel J. D. Guerra ◽  
Nuno C. G. Horta ◽  
Ricardo M. F. Martins ◽  
Nuno C. C. Lourenço
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Circuit Design ◽  
Integrated Circuit ◽  
Design Automation ◽  
Integrated Circuit Design ◽  
Analog Integrated Circuit ◽  
Analog Integrated Circuit Design ◽  
Artificial Neural

An improved multi-objective learning automata and its application in VLSI circuit design

2020 ◽  
Vol 12 (2) ◽  
pp. 115-128
Author(s):  
Najmeh Sayyadi Shahraki ◽  
Seyed Hamid Zahiri
Keyword(s):  
Circuit Design ◽  
Learning Automata ◽  
Vlsi Circuit ◽  
Multi Objective
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